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Fess Configuration Properties
he=hen hi=hin hr=hrn hu=hun hy=hyn id=idn it=itn ja=jan ko=kon...sv=svn ta=tan te=ten th=thn tl=tln tr=trn uk=ukn ur=urn vi=vin...fess.codelibs.org/15.2/config/properties.html -
dict-110.png
PixelInterleaved width=1015, height=5271, bitDepth=8, colorType=RGBAlpha,...red=8, green=8, blue=8, alpha=8 RGB 8 8 8 8 5271 1 1.0 1 8 8 8...fess.codelibs.org/ja/_images/dict-110.png -
theme.min.css
}[class^=ai-],[class*=" ai-"],[class^=bi-],[class*=" bi-"]{d...t([type=date]):not([type=datetime-local]):not([type=month]):...fess.codelibs.org/_static/assets/css/theme.min.css -
gpt.js
c(g){var h=typeof g;return h==="object"&&g!==null||h==="functio...h;h++){var l=n[h];if(k!==k&&l.key!==l.key||k===l.key)return{...securepubads.g.doubleclick.net/tag/js/gpt.js -
Evaluation of outlier detection estimators — sc...
) s = ( y == 2 ) + ( y == 4 ) X = X . loc [ s ] y = y . loc [...random_state = 42 , return_X_y = True , as_frame = True ) y = ( y !=...scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html -
Illustration of prior and posterior Gaussian pr...
nrows = 2 , sharex = True , sharey = True , figsize = ( 10 ,...nrows = 2 , sharex = True , sharey = True , figsize = ( 10 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_prior_posterior.html -
Classifier comparison — scikit-learn 1.7.2 docu...
C = 0.025 , random_state = 42 ), SVC ( gamma = 2 , C = 1 ,...clf , X , cmap = cm , alpha = 0.8 , ax = ax , eps = 0.5 ) # Plot...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Multiclass Receiver Operating Characteristic (R...
pair_list ): a_mask = y_test == label_a b_mask = y_test == label_b ab_mask...plot_chance_level = ( class_id == 2 ), despine = True , ) _ = ax . set...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
GMM covariances — scikit-learn 1.7.2 documentation
bottom = 0.01 , top = 0.95 , hspace = 0.15 , wspace = 0.05 ,...scatterpoints = 1 , loc = "lower right" , prop = dict ( size = 12 ))...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
BallTree — scikit-learn 1.7.2 documentation
return_distance == False (d,i) if return_distance == True d ndarray...count if count_only == True ind if count_only == False and return_distance...scikit-learn.org/stable/modules/generated/sklearn.neighbors.BallTree.html
